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P49606-B21 HPE Xeon Platinum 8470 52-Core 2.0GHz Server Processor
SKU:
P49606-B21
Weight: 3.00 lbs
Condition: Refurbished
- High-performance 52-core Xeon Platinum 8470 CPU
- 2.0 GHz base clock speed for robust processing
- Designed for enterprise-grade servers and data centers
- Optimized for demanding workloads and virtualization
In stock
$10,499.00
| Product Overview |
|---|
The P49606-B21 HPE Xeon Platinum 8470 processor features 52 cores operating at a 2.0 GHz base frequency, delivering high parallel processing capabilities. It supports multi-threading, advanced power management, and large memory configurations suitable for enterprise server environments. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | P49606-B21 |
| Technical Information | |
|---|---|
| Processor Family | Xeon Platinum |
| Total Threads | 104 |
| Base Clock Speed | 2.0GHz |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The P49606-B21 HPE Xeon Platinum 8470 2.0GHz 52-Core Processor is a powerful server-grade CPU designed to handle intensive computing tasks in enterprise environments. It is commonly found in HPE ProLiant servers and high-density data center deployments where multi-threaded performance and reliability are critical. This processor benefits IT professionals, system administrators, and organizations requiring scalable compute power for applications such as large databases, virtualization, and high-performance computing. Key Features
With its robust architecture and core density, the P49606-B21 processor enables efficient execution of complex workloads and supports mission-critical applications requiring sustained performance. It offers a reliable foundation for building scalable and powerful computing infrastructure. |
| Use Cases |
|---|
The P49606-B21 processor is designed for demanding enterprise applications requiring substantial compute resources. How It's Used:
This processor provides the necessary performance and reliability for organizations to efficiently manage and scale their critical workloads. |
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